Interval forecasting of electricity demand: A novel bivariate EMD-based support vector regression modeling framework

International Journal of Electrical Power and Energy Systems

Volumn 63, Issue , 2014, Pages 353-362

  Xiong, Tao ^a   Bao, Yukun ^b   Hu, Zhongyi ^b  

^a HUAZHONG AGRICULTURAL UNIVERSITY   (China)

^b HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Bivariate empirical mode decomposition (BEMD); Electricity demand forecasting; Interval valued data; Support vector regression (SVR)

Indexed keywords

DECOMPOSITION; ELECTRIC POWER SYSTEM PLANNING; ELECTRIC POWER UTILIZATION; FORECASTING; RISK PERCEPTION; SIGNAL PROCESSING; TIME SERIES; TIME SERIES ANALYSIS;

BIVARIATE EMPIRICAL MODE DECOMPOSITIONS; COMPLEX-VALUED TIME SERIES; ELECTRICITY DEMAND FORECASTING; EMPIRICAL MODE DECOMPOSITION; EMPIRICAL MODEL DECOMPOSITION; INTERVAL-VALUED DATA; SUPPORT VECTOR REGRESSION (SVR); SUPPORT VECTOR REGRESSION MODELS;

SUPPORT VECTOR REGRESSION;

EID: 84903939323     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2014.06.010     Document Type: Article

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